Chapter Lead Data Science Job at ING (Istanbul)

Chapter Lead Data Science

As a Chapter Lead you have a dual role. You build a strong-identity team that ap...

Location

Turkey , Istanbul

Salary:

Not provided

220 Marketing Group

Expiration Date

Until further notice

Requirements

Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
Management experience in an Agile organization
Strong analytic skills
Experience as a data scientist in retail domain
Experience/ knowledge of the business of the Tribe you work in
A proven track record in analytics, backlog management and resource planning
Ability to lead teams of experts working in a highly complex and dynamic environment
Achieve optimum results by empowering teams
Passionate about developing teams to achieve craftmanship and personal development
A mindset that focusses on continuous improvement

Job Responsibility

Build a strong-identity team that apply their diverse skills and perspectives to achieve common goals
Actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship
Spend majority of your time working together with your team as a contributor on delivery
Decide on allocation of your chapter members capacity for the global backlog delivery demand
Report to the Area Lead Retail Banking Analytics
Develop a view on the future of the DS capability craftsmanship and drive continues development of chapter members
Work closely with other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery
Decide on allocation of capacity of your chapter members for the delivery of the global priorities
Steer and develop your chapter members to meet both their career goals and organisation's goals
Contribute to the success of projects by doing hands-on data scientist work

What we offer

14 days of welcome leave days even in your first year
Self-driven career opportunities
Personal growth & challenging work with endless opportunities
Informal, dynamic environment with innovative colleagues
Global projects and/or career opportunities
Various communication activities & celebrations
Comprehensive health insurance package for you and your beloved ones (spouse/children)
Private Pension plan for your future dreams

Fulltime

Qa & Testing Automation Chapter Lead

At Vodafone, we’re not just shaping the future of connectivity for our customers...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Excellent communication , interpersonal and presentation skills
Manage an QA team for the development and execution of test cases
Drive testing automation, scripting and regression testing utilizing offshore test automation engineers
Track and analyze support and field regression data to identify new policies and procedures necessary to ensure high quality releases
Engineering or Computer Science background is a must.
6+ years of relevant QA experience Superior analytical skills, including strong ability to identify and solve ambiguous problems.
1-2 years of people management experience
Technologies /Tools you’ll work with and need to know…Agility, TDD, Automation, Continues Integration, ALM , Jira , Confluence, Selenium, Appium, Devops.

Job Responsibility

Digital and Technology projects
Work in agile environment with different teams (Development, Product, Operations and Design) to assure the QA coverage.
Plan, deploy and manage the testing activities for any given engagement
Drive improvement in test methodologies and technologies for test automation, reporting, traceability, and defect management
Use the agreed Test tools /Trackers and Environments to execute the test scripts and create all test deliverables and results
Ensuring each product release meets well defined high quality standards
Supporting in the career development of test engineers

What we offer

Working with latest technologies
Agile ways of working
A company culture that balances between being a well-established global corporate and a dynamic start up
Various channels to learn from
cool Tech Talks, rich online trainings, LinkedIn learnings and more
Working opportunity with global teams
A space for you to innovate
yearly innovation Hackathon

Fulltime

Lead Data Scientist MSAT GCC

Work with global multidisciplinary teams to accelerate data-driven process under...

Location

India , Bengaluru

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

Preferred Level of Education: Masters degree or PhD in data science, computer science, statistics, mathematics, or related field
10-16 years of experience in pharmaceutical or biopharmaceutical MSAT in applying data science and/or programming within industry and/or university, preferably within pharmaceutical industry in multidisciplinary multicultural teams
Fluent in English (verbal and written)
Strong written/oral communication and presentation skills with proven experience of communicating at different levels across an organisation including communicating complex information in logical and simplified terms
Strong programming skills with at least one scientific programming language e.g. Python, R, MATLAB
Expertise in applying data science within the pharmaceutical industry
Strong knowledge of relevant regulations and guidelines, e.g, stability guidelines (ICH, USP), relevant chapters from Eur.Ph.
Long-term experience with Health Authorities such as FDA, EMA, etc.

Job Responsibility

Act as an essential partner within cross-functional global teams by providing data science expertise to design, develop, and optimize business-impacting data solutions
Actively participate in all stages of model design and development (from data collection, data quality control, model building, model validation, testing, and model monitoring & lifecycle strategy) adhering to business leadership standards
Design, build, and maintain highly complex quantitative and analytical models to inform/drive strategic direction and/or improve business performance
Lead the data analysis, and exploration, reporting and communication of results and conclusions in the form of technical documents and presentations in accordance with regulatory and internal guidance
Review the data science element of technical documents as a Subject Matter Expert
Influence GSK internal policies, guidelines and SOPs to ensure appropriate data evaluation
Actively participate with the wider data science network (MSAT, Quality, TRD and R&D, as well as with the GPS community) to develop, align and standardize data evaluation methodologies and conventions
Upskill the organisation through coaching, mentoring, and training of non-experts and junior statisticians and data scientists as required on the appropriate application of data science, statistics, and data evaluation tools
Manage external and internal collaborations with statistical and data science thought leaders and groups in other functions and divisions
Monitor and assess new and emerging industry trends and evolving regulatory expectations for data science technologies (such as Machine/Deep Learning and Artificial Intelligence)

What we offer

Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes

Fulltime

New

Product Manager - NOC

Are you a product visionary with a passion for aviation and the power of enterpr...

Location

Canada , Waterloo

Salary:

120000.00 - 140000.00 USD / Year

Randstad

Expiration Date

September 07, 2026

Requirements

5+ years of progressive experience in Product Management, with a proven track record of successfully launching and scaling enterprise software products
2+ years of direct experience working within the Scaled Agile Framework (SAFe) environment
Deep domain expertise or a strong foundational understanding of Airline Operations Control (OCC), Flight Operations, Crew Management, Scheduling, and/or Crew Planning systems
Expertise in defining, documenting, and prioritizing features, creating effective roadmaps, and applying lean prioritization techniques
Proven ability to apply Project Management skills to drive execution, including tracking progress, managing risks, resolving dependencies across multiple Agile teams, and ensuring timely delivery of quality features
Demonstrated ability to understand complex system architecture, API dependencies, data flow, and effectively prioritize technical debt and architectural runway in collaboration with solution architects, Chapter Leads and engineering leads
Excellent communication, presentation, and negotiation skills, with the ability to influence stakeholders at all organizational levels
Excellent English communication skills (verbal and written)
Working experience on Agile project management tools (Agility, Jira, etc)
Ability to communicate concisely and accurately to team and to management

Job Responsibility

As the Product Manager for N-Ops & Crew, you will be the ultimate champion for the product, with a clear focus on defining and delivering maximum business value through the SAFe framework
Strategic Direction and Value Definition
Product Vision and Strategy: Participate in the product vision and strategy that is aligned with overall business goals, market trends, architectural runway and customer feedback
Maximize ROI: Prioritize the Product Backlog by applying an economic view (e.g., Weighted Shortest Job First - WSJF) to ensure the team(s) focuses its efforts on the features that will deliver the greatest business value and return on investment
Translate Needs into Features: Define, document, and accept features with clear business outcomes, acceptance criteria, and Non-Functional Requirements, acting as the ultimate source for feature content
SAFe Execution & Agile Leadership
Lead PI Planning: Lead the content presentation for Program Increment (PI) Planning events, presenting the vision and features to the team(s), and finalize the PI Objectives in collaboration with stakeholders
Facilitate Flow: Collaborate closely with the Release Train Engineer (RTE) and Product Owner (PO) to monitor the execution of the PI plan, actively working to anticipate and resolve cross-team dependencies and impediments that hinder feature delivery flow
Guide Product Owners: Collaborate and synchronize daily with Product Owners to elaborate features into user stories, manage the flow of work, and ensure the team backlogs reflect correct priorities
Technical Acumen for Enablers: Partner with Solution Architects / Engineering teams to define and prioritize Enablers (technical features) needed to support the N-OC solution's non-functional requirements, architectural runway and scalability

What we offer

Flexible hours
Hybrid working environment (3 days in office)
Free parking
Vacation Days (15 - 25)
Professional Development Day
Christmas shut down
Summer core hours
Strong work-life balance
Casual dress code
Competitive group benefits plan

Fulltime

AI Platform Developer

The AI Developer - Platform is responsible for designing, building, and maintain...

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

August 03, 2026

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
3+ years of experience in AI/ML development, with strong exposure to platform engineering or backend systems
Hands-on experience with Generative AI frameworks (OpenAI, Hugging Face, LangChain) and orchestration tools
Proficiency in Python and familiarity with API development (REST, GraphQL)
Experience with cloud platforms (AWS, Azure), containerisation (Docker, Kubernetes), and CI/CD pipelines
Knowledge of platform components such as model hosting, inference APIs, and vector databases
Strong problem-solving skills and ability to write clean, maintainable, and secure code
Familiarity with Responsible AI principles, Well-Architected Framework and enterprise security standards

Job Responsibility

Follow secure coding practices and ensure compliance with enterprise cybersecurity and Responsible AI principles
Contribute to reducing operational risk by implementing reliable and auditable platform components
Develop and maintain reusable AI platform services, APIs, and frameworks that enable rapid deployment of AI solutions
Implement scalable and modular components for model hosting, inference, and orchestration
Integrate Generative AI capabilities (e.g., LLMs, prompt orchestration, vector databases) into platform services
Ensure platform components meet performance, reliability, and observability standards
Collaborate with platform architects and AI Platform Lead to align development with enterprise architecture and platform strategy
Document technical designs, workflows, and deployment processes for knowledge sharing and compliance
Work closely with AI Platform Lead, AI Tech Chapter Lead, and other developers to ensure consistency in engineering practices
Engage with data engineering, cybersecurity, and cloud teams to ensure secure and compliant integrations

What we offer

Commitment to your ongoing development, including on the job opportunities and formal programs
Inclusive parental leave entitlements for both parents
Values led culture
Flexible work options
Generous annual leave, sick leave and casual leave
Cultural and religious leave with flexible public holiday opportunities
A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

Fulltime

Senior AI Technical Lead

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

August 23, 2026

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
6+ years of experience in AI/ML engineering, with strong expertise in Generative AI and agentic systems
Proficiency in Python and modern programming languages
experience with orchestration frameworks (LangChain, Hugging Face, OpenAI)
Strong knowledge of cloud platforms (AWS, Azure), containerisation (Docker, Kubernetes), and CI/CD pipelines
Experience with infrastructure-as-code (Terraform, CloudFormation) and API management
Familiarity with observability tools and secure coding practices
Excellent leadership, stakeholder engagement, and communication skills
Proven ability to lead technical teams and deliver complex AI solutions in agile environments

Job Responsibility

Lead technical design decisions and resolve blockers across portfolio use cases
Drive cloud-native development practices, including secure handling of secrets, environment variables, and service configurations
Manage API specifications and service integrations across platforms
Ensure robust CI/CD pipelines for AI systems and microservices
Implement team-based access control, code ownership, and repository governance
Apply infrastructure-as-code practices for scalable deployments
Support agile software development processes and ensure engineering consistency
Design and deploy conversational agents and multi-agent systems
Orchestrate agent workflows, manage context, and integrate external data sources
Implement retrieval-augmented generation (RAG) patterns and scalable inference strategies

What we offer

Inclusive parental leave entitlements for both parents
Values led culture
Flexible work options
Generous annual leave, sick leave and casual leave
Cultural and religious leave with flexible public holiday opportunities
A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

Fulltime

Business Transformation Lead

We are seeking a Business Transformation Lead to drive process design, maturity,...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Proven experience in business transformation and continuous improvement (3-5 Years)
Degree in Engineering, Computer Science, or a related discipline
Strong expertise in Lean Six Sigma methodologies (Green Belt preferred)
Demonstrated experience with DMAIC, DFSS, and process optimisation frameworks
Solid understanding of Statistical Process Control and capability analysis
Experience with BPMS deployment and statistical tools such as Minitab or SPSS
Knowledge of Agile frameworks, particularly Spotify model structures
Understanding of project lifecycle management, PMO functions, and delivery methodologies
Strong stakeholder engagement and communication skills
Ability to analyse data, identify trends, and translate insights into action

Job Responsibility

Lead process design, development, and maturity initiatives across UK delivery functions
Conduct benefit case analysis and lead deep-dive process and requirement assessments
Develop and document current (as-is) and future (to-be) process states
Drive continuous improvement initiatives using Lean Six Sigma methodologies (DMAIC/DFSS)
Facilitate workshops to identify process inefficiencies and implement innovative solutions
Identify, document, and manage transformation dependencies, risks, and mitigation plans
Establish KPIs, SLAs, and performance metrics in collaboration with stakeholders
Deliver root cause analysis and data-driven insights to support decision-making
Lead improvement teams and maintain corrective action plans
Promote a culture of continuous improvement and innovation across teams

What we offer

Opportunity to lead large-scale transformation initiatives across international markets
Exposure to end-to-end telecom delivery models and advanced Agile frameworks
Collaborative working environment with cross-functional global teams
Continuous learning through hands-on application of Lean Six Sigma and Agile methodologies
Involvement in strategic decision-making and business performance optimisation

Fulltime

Principal Software Engineer

Security represents the most critical priorities for our customers in a world aw...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Deep expertise in distributed systems, high-performance runtime engines, or policy/rules engines operating at extreme scale
Strong background in identity, authentication, authorization, or security infrastructure — you understand OAuth2/OIDC, token semantics, and Zero Trust principles
Fluency in C# and large-scale .NET service development
experience with ESTS or equivalent identity platforms is a strong plus Architectural leadership
Track record of defining and driving multi-year technical strategies that span teams and organizations
Ability to make pragmatic tradeoffs between architectural purity and shipping velocity — you know when to invest in the long-term and when to ship the 80% solution
Experience designing systems that evolve incrementally under production load with zero downtime

Job Responsibility

Define the architecture for Conditional Access at identity-platform scale
Own the technical strategy for the CA evaluation engine — today processing millions of policy evaluations per second inside ESTS with sub-millisecond latency budgets
Design the next-generation policy model: portable, data-driven policies that evaluate at token-time and at the data plane (GSA, MISE, resource providers)
Drive convergence of token-time CA and Continuous Access Evaluation into a unified enforcement architecture
Lead the CA-for-Agents technical vision
Architect how CA evaluates agent identities as first-class actors — spanning OBO, S2S, CUA, and agentic chaining scenarios
Drive cross-org technical alignment
Partner with Identity Protection, Defender, Intune, Graph, GSA, and Azure networking to integrate risk signals, device posture, and network context into CA evaluation
Represent CA engineering in cross-IDNA architecture reviews, security design reviews, and partner alignment forums
Influence the ESTS roadmap for protocol-level changes required for agent governance (FIC, token exchange, CAE for OBO) Raise the engineering bar

Fulltime

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Chapter Lead Data Science

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Job Responsibility

Requirements

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